njmarko / machine-learning-with-graphs
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
☆29Updated 3 years ago
Alternatives and similar repositories for machine-learning-with-graphs:
Users that are interested in machine-learning-with-graphs are comparing it to the libraries listed below
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- ☆58Updated 8 months ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆185Updated 10 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆77Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆55Updated 2 years ago
- Graph neural network implementation using numpy☆39Updated 5 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆78Updated 5 months ago
- List of papers on NeurIPS2023☆89Updated last year
- A curated list of awesome Hypergraph Learning frameworks, libraries and software.☆22Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated last year
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆17Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- Graph Neural Network Tutorial☆186Updated 4 years ago
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆67Updated 5 months ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- Gradient gating (ICLR 2023)☆53Updated last year
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆28Updated 2 years ago
- ☆96Updated 2 years ago
- A list for GNNs and related works.☆91Updated 2 weeks ago
- ☆59Updated 3 years ago
- Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of a…☆26Updated last year
- Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics…☆19Updated 2 months ago
- Temporal Graph Benchmark project repo☆217Updated 3 weeks ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆69Updated 2 years ago
- Collection of graphs with communities and ground truth partition☆18Updated last year
- A repo for holding example code☆155Updated 2 weeks ago
- Code and Content for Manning Publication on Graph Neural Networks☆77Updated last month